Share

Tools

Note: This topic alert will contain papers related to any sub-topic within this category. To create more granular alerts, you will need to delete the parent alert first.Note: This topic alert is already active because you previously created an alert on a parent topic. To create more granular alerts, you will need to delete the parent alert first.

The positive fraction vector fitting (PFVF) is a special method to guarantee the passivity of rational models such as frequency-dependent network equivalents. It involves constraints that enforce each fraction of the rational model to be passive, which are much stricter than the original passive requirements. PFVF lacks theoretical foundation but works well in practise. This study explains the rationality of PFVF by revealing important features of rational models that the complex-pole fractions corresponding to dominant resonance peaks can be adjusted passive through a minor change. The numerical case corroborates the theoretical analysis.